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Comparison of Salmonella enterica serovars Typhi and Typhimurium reveals typhoidal-1
specific responses to bile 2
3
Rebecca Johnson1, Matt Ravenhall
2, Derek Pickard
3, Gordon Dougan
3, Alexander Byrne
1*, 4
Gad Frankel1# 5
6
Running title: Salmonella Typhi bile responses 7
1MRC Centre for Molecular Bacteriology and Infection, Department of Life Sciences, 8
Imperial College London, London, United Kingdom 9
2Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical 10
Medicine, London, United Kingdom 11
3Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, 12
United Kingdom 13
14
* Present address: Animal and Plant Health Agency, Weybridge, United Kingdom 15
16
#Corresponding author: Gad Frankel, [email protected] 17
IAI Accepted Manuscript Posted Online 11 December 2017Infect. Immun. doi:10.1128/IAI.00490-17Copyright © 2017 Johnson et al.This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
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ABSTRACT 18
Salmonella enterica serovars Typhi and Typhimurium cause typhoid fever and gastroenteritis 19
respectively. A unique feature of typhoid infection is asymptomatic carriage within the 20
gallbladder, which is linked with S. Typhi transmission. Despite this, S. Typhi responses to 21
bile have been poorly studied. RNA-Seq of S. Typhi Ty2 and a clinical S. Typhi isolate 22
belonging to the globally dominant H58 lineage (129-0238), as well as S. Typhimurium 23
14028, revealed that 249, 389 and 453 genes respectively were differentially expressed in the 24
presence of 3% bile compared to control cultures lacking bile. fad genes, the actP-acs 25
operon, and putative sialic acid uptake and metabolism genes (t1787-t1790) were upregulated 26
in all strains following bile exposure, which may represent adaptation to the small intestine 27
environment. Genes within the Salmonella pathogenicity island 1 (SPI-1), encoding a type 28
IIII secretion system (T3SS), and motility genes were significantly upregulated in both S. 29
Typhi strains in bile, but downregulated in S. Typhimurium. Western blots of the SPI-1 30
proteins SipC, SipD, SopB and SopE validated the gene expression data. Consistent with this, 31
bile significantly increased S. Typhi HeLa cell invasion whilst S. Typhimurium invasion was 32
significantly repressed. Protein stability assays demonstrated that in S. Typhi the half-life of 33
HilD, the dominant regulator of SPI-1, is three times longer in the presence of bile; this 34
increase in stability was independent of the acetyltransferase Pat. Overall, we found that S. 35
Typhi exhibits a specific response to bile, especially with regards to virulence gene 36
expression, which could impact pathogenesis and transmission. 37
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INTRODUCTION 38
In humans, the outcome of infection with Salmonella enterica primarily depends on the 39
infecting serovar; whilst non-typhoidal, broad host range serovars such as Salmonella 40
enterica serovar Typhimurium (S. Typhimurium) cause self-limiting gastroenteritis, infection 41
with human-restricted typhoidal serovars, such as Salmonella enterica serovar Typhi (S. 42
Typhi) result in typhoid fever (1). The virulence of both serovars depends on the activity of 43
two type III secretion systems (T3SS) carried on Salmonella pathogenicity islands 1 and 2 44
(SPI-1 and SPI-2), which secrete a pool of over 40 effectors to subvert host cell processes 45
resulting in invasion, immune evasion, and intracellular growth (2). The SPI-1 T3SS is active 46
when Salmonella are extracellular, and its activity permits Salmonella invasion of non-47
phagocytic cells and also promotes early adaptation to the intracellular environment (2). 48
Expression of the SPI-1 T3SS and its associated genes (several of which are encoded outside 49
of the SPI-1 pathogenicity island) is controlled by a hierarchy of regulators (HilD, HilA, 50
HilC, RtsA, InvF). These regulators are controlled by a variety of factors including two-51
component systems, RNA binding proteins, and global regulators, which respond to a range 52
of environmental stimuli (3, 4). 53
Typhoid is an acute illness characterized by high fever, malaise and abdominal pain (5). S. 54
Typhi causes systemic infection during which the pathogen colonises the intestine and 55
mesenteric lymph nodes, the liver, spleen, bone marrow and gallbladder (5). It is estimated 56
that there are more than 20 million typhoid fever cases per year, resulting in more than 57
200,000 deaths (6). Although with adequate treatment most patients recover from the acute 58
phase of S. Typhi infection, S. Typhi can persist asymptomatically within the gallbladder 59
following clinical recovery (7). Overall, 10% of those infected will carry S. Typhi within 60
their gallbladder for up to three months, whilst 1-3% will continue to harbour S. Typhi for 61
longer than one year (5, 8). Given the host-restriction of S. Typhi, chronic gallbladder 62
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carriage represents a key environmental reservoir of S. Typhi bacteria, enabling typhoid 63
transmission (7, 9). 64
Although the exact mechanism(s) by which S. Typhi persists within the gallbladder are 65
debated (7), it certainty encounters high bile concentrations during carriage, as the 66
gallbladder is where bile is stored and concentrated prior to secretion into the small intestine, 67
where it plays a role in the emulsification and absorption of fats (10). In part due to its 68
detergent activity, bile is also a potent antimicrobial agent (10, 11). However enteric 69
pathogens – including Salmonella – are intrinsically resistant to bile (12), and instead often 70
utilise bile as a means to regulate gene expression and virulence (10, 13). In S. Typhimurium, 71
expression of the SPI-1 and motility genes are repressed by bile exposure, resulting in a 72
significant repression of epithelial cell invasion (14, 15). 73
Despite the importance of asymptomatic carriage, the behaviour of S. Typhi within bile 74
remains poorly understood (7). As the transcriptomic responses of S. Typhimurium to bile 75
under various conditions have been well characterised (15–18), the behaviour of S. 76
Typhimurium has become an accepted model as to how Salmonella in general behaves in bile 77
(11, 19). However a study comparing changes in protein expression by 2D gel electrophoresis 78
within S. Typhimurium and S. Typhi following exposure to 3% bile found there was “little 79
overlap apparent between proteins affected by bile in S. Typhi and in S. Typhimurium” (12), 80
suggesting that the response to bile between these serovars differs. Furthermore, a study 81
comparing the genomes of S. Typhimurium LT2 to S. Typhi CT18 revealed that less than 82
90% of genes are shared between the two strains, with over 600 genes present in CT18 not 83
found in LT2 (20); therefore S. Typhimurium cannot be used to model regulation of S. Typhi 84
specific genes, which include key virulence factors such as the Vi antigen, and the CdtB and 85
HlyE/ClyA toxins (20). 86
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The need to better understand S. Typhi infection has been intensified by the recent spread of 87
haplotype 58 (H58), also known as 4.3.1 (21, 22). Following its emergence around 30 years 88
ago, S. Typhi strains belonging to haplotype H58 have clonally expanded worldwide to 89
become the dominant cause of multi-drug resistant (MDR) typhoid within endemic regions 90
(21). As yet, the reasons underlying the relative success of H58 strains remain unknown. 91
The aim of this study was to compare global bile responses between S. Typhi and S. 92
Typhimurium isolates, which in turn might explain differences in pathogenesis and reveal 93
processes important for the carrier state. 94 on January 4, 2018 by LON
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RESULTS 95
Bile exposure alters global gene expression in Salmonella 96
We performed RNA-Seq on S. Typhimurium 14028, S. Typhi Ty2 and a clinical S. Typhi 97
H58 isolate (129-0238) grown in LB to late-exponential phase in the presence or absence of 98
3% bile. Given the extensive description of S. Typhimurium behaviour in bile (14, 15), S. 99
Typhimurium 14028 was considered as a control. 3% ox-bile was chosen for these studies as 100
this concentration robustly affects gene expression in S. Typhimurium (14, 15, 23), but does 101
not affect growth of the investigated Salmonella strains (Figure S1). Overall following 102
growth in bile, 249 and 389 genes were differentially expressed in S. Typhi Ty2 (182 103
upregulated; 67 downregulated) and 129-2038 (223 upregulated; 166 downregulated) (Figure 104
1) respectively, while 453 genes were differentially regulated in S. Typhimurium 14028 (293 105
upregulated; 179 downregulated) (Figure 1). 106
GO enrichment and KEGG pathway analysis on the pools of upregulated and downregulated 107
genes revealed broad differences between S. Typhi and S. Typhimurium (Figure 1). While S. 108
Typhimurium upregulated metabolic processes and downregulated processes linked with 109
pathogenicity, including T3SS, flagella and chemotaxis (motility), in line with previous 110
findings (14, 15, 17), both S. Typhi Ty2 and 129-0238 upregulated these processes, whilst 111
downregulating various metabolic pathways (Figure 1). KEGG pathway analysis also 112
revealed that fatty acid degradation (represented by the GO term ‘Fatty acid beta-oxidation’) 113
and tyrosine metabolism were upregulated in all isolates, implicating these processes in 114
general Salmonella response to bile. 115
Similarities in the response to bile between S. Typhi and S. Typhimurium 116
The overlap in genes either downregulated or upregulated in bile between all strains was 117
small; only one gene (pagP), a PhoP-PhoQ regulated gene involved in modifying lipid A 118
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(24), was downregulated in all strains (Figure 2). Twenty genes were upregulated in all 119
isolates in response to bile (Figure 2) (Table 1), representing genes involved in tyrosine 120
metabolism, sialic acid uptake and utilisation (t1787-1790) (25), and in the production of 121
acetyl-CoA from acetate (actP-acs) and fatty acids (fad genes). Of the upregulated genes, 122
expression of acs and fadE was validated by RT-qPCR (Table 2). Upregulation of sialic acid 123
and acetate metabolic pathways may reflect adaptation to the small intestine, where these 124
metabolites are abundant (26), whilst upregulation of fad genes are consistent with the ability 125
of Salmonella to utilise phospholipids present in bile as a carbon/energy source (27). 126
Interestingly the fatty acid transporter fadL, was strongly upregulated in S. Typhimurium, but 127
was not upregulated in either S. Typhi Ty2 or 129-0238, suggesting that S. Typhi may 128
possess additional fatty acid transporters. 129
Genes implicated in stress responses were also upregulated in bile. All isolates upregulated 130
msrA, a sulfoxide reductase upregulated in response to oxidative stress, which is required for 131
growth within macrophages and for full virulence of S. Typhimurium in vivo (28). S. 132
Typhimurium 14028 and S. Typhi 129-0238 also activated RpoS-mediated stress responses, 133
with upregulation of otsAB, spoVR, yeaG, katE, sodC, poxB, ecnB, and osmY, in line with 134
previous findings (17, 29, 30). However, upregulation of these stress-linked genes was not 135
observed in S. Typhi Ty2, which is likely due to a frameshift mutation within rpoS within this 136
strain (31). 137
Differences in the response to bile between S. Typhi and S. Typhimurium 138
Of special interest are genes that are regulated differently in response to bile between S. 139
Typhi and S. Typhimurium. The identification of such genes was achieved by determining 140
genes downregulated in S. Typhimurium in bile, but upregulated in S. Typhi and vice versa. 141
Of the 75 genes upregulated in both S. Typhi Ty2 and 129-0238 (Figure 2), the majority 142
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(54/75) were significantly downregulated in S. Typhimurium (Table 3). As indicated by the 143
GO and KEGG pathway analyses (Figure 1), genes regulated in this manner predominantly 144
encode proteins associated with the SPI-1 T3SS or motility. To validate these findings, 145
expression of the SPI-1 associated genes hilD, hilA, prgH, and sopB, in addition to the 146
flagella associated genes flhD and flgA was confirmed by RT-qPCR (Table 2). 147
Additional genes upregulated in S. Typhi and downregulated in S. Typhimurium include lpxR 148
(t1208/STM14_1612), a lipid A modifying protein that modulates the ability of lipid A to 149
stimulate TLR4 (32) and promotes Salmonella growth inside macrophages (33), and 150
srfA/srfB, virulence factors expressed under SPI-1 inducing conditions (34) and reported to 151
modulate inflammatory signalling (35). Additionally, several hypothetical proteins – t0944 152
(STM14_2352), t1774 (STM14_1312) and t2782 (STM14_3479) – were upregulated in S. 153
Typhi but downregulated in S. Typhimurium. Given their regulation pattern, these genes may 154
encode uncharacterised virulence factors or be involved in motility in Salmonella. 155
We also analysed the expression profile of S. Typhi specific genes. S. Typhi Ty2 carries 453 156
unique genes relative to S. Typhimurium (representing Ty2 homologues of the 601 S. Typhi 157
specific genes identified in CT18 (36), in addition to 29 Ty2 specific genes (37)). Only two of 158
these genes were significantly regulated by bile exposure in both S. Typhi Ty2 and 129-0238. 159
Both genes, which are upregulated in bile, encode hypothetical proteins: t0349 (STY2749) 160
encodes a GIY-YIG domain containing protein, and t1865 (STY1076) encodes a homologue 161
of the NleG family of T3SS effectors (38, 39). Neither S. Typhi isolate demonstrated altered 162
expression of genes encoding the Vi antigen or of the typhoid toxin in bile. 163
Bile influences SPI-1 expression and Salmonella invasion 164
The most marked differences between S. Typhi and S. Typhimurium in response to bile was 165
in the expression of SPI-1-associated genes. The majority of genes within the SPI-1 166
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pathogenicity island, in addition to the SPI-1 regulators rtsA and rtsB, and effector genes 167
carried outside SPI-1 (sopD), were significantly upregulated in S. Typhi Ty2 and 129-0238 168
but significantly downregulated in S. Typhimurium (Table 3; Figure 3A). Noticeably, S. 169
Typhi 129-0238 exhibited significantly elevated expression of SPI-1 genes relative to S. 170
Typhi Ty2 (Table 3; Figure 3A). 171
To determine if changes in SPI-1 gene expression correlated with changes at the protein 172
level, we compared the intracellular levels of the SPI-1 translocon proteins SipC, SipD, and 173
the SPI-1 effectors SopE (for S. Typhi) or SopB (for S. Typhi and S. Typhimurium) from 174
each strain grown in the absence or presence of bile. Additional S. Typhi strains were also 175
included to further expand and validate these findings, namely the RpoS+ S. Typhi reference 176
strain CT18 (37), and an additional H58 isolate, ERL12148 which belongs to a different 177
sublineage of H58 than 129-0238 (21). All S. Typhi strains tested (Ty2, CT18, 129-0238, 178
ERL12148) showed increased levels of SPI-1 proteins, with the H58 strains demonstrating 179
the largest increases in SPI-1 protein expression in bile (Figure 3B, Figure S2). Conversely S. 180
Typhimurium 14028 showed decreased levels of SopB, SipD and SipC following growth in 181
bile (Figure 3B, Figure S2); as S. Typhimurium 14028 lacks SopE, its lanes (Tm) in the SopE 182
panel are not shown. 183
Given the significant effect of bile on SPI-1 expression, we investigated the impact of bile on 184
epithelial cell invasion. In line with previous findings (14), S. Typhimurium exposed to bile 185
demonstrated significantly reduced invasion, achieving an invasion rate approximately 90% 186
lower than S. Typhimurium grown in the absence of bile (Figure 3C). In contrast, all S. Typhi 187
strains tested demonstrated significantly increased invasion following bile exposure, with 188
Ty2 and CT18 displaying an approximate 2-fold increase in the number of intracellular 189
bacteria at 2 h post-infection, and both H58 isolates demonstrating even higher increases in 190
invasion (between 4-16 fold) (Figure 3C, Figure S2). A SPI-1 deficient strain of S. Typhi Ty2 191
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(ΔinvA) did not invade HeLa cells in the presence of bile, indicating that the increased 192
invasiveness of S. Typhi in bile is SPI-1 dependent (Figure S2). 193
Transcriptional regulation of SPI-1 regulators in bile 194
Given the striking difference in SPI-1 expression between S. Typhi and S. Typhimurium in 195
response to bile, we determined where and how SPI-1 regulation differs between the two 196
serovars. The central regulators governing SPI-1 expression are HilA, often termed the 197
master SPI-1 regulator, and HilD, which is the dominant regulator of HilA (3, 40). The RNA-198
Seq and RT-qPCR data show that the mRNA levels of these regulators significantly decrease 199
in S. Typhimurium in response to bile, but significantly increase in response to bile in the S. 200
Typhi strains (Table 2). 201
In order to determine if these changes are mediated by transcriptional regulation of these 202
genes, we constructed hilA and hilD lacZ chromosomal transcriptional reporters in S. 203
Typhimurium 14028 and S. Typhi Ty2 (41). The reporter activity was determined by β-204
galactosidase assay following growth to late exponential phase in LB with or without 3% 205
bile. In S. Typhimurium expression of hilA is significantly reduced in the presence of bile, 206
with expression almost 20 fold lower, while expression of hilD is unchanged (Figure 4). In 207
contrast, expression of hilA in S. Typhi significantly increases in bile, with expression over 3 208
times higher, whilst hilD expression is only modestly increased (Figure 4). Taken together, 209
these results indicate that hilA is transcriptionally regulated by bile in both S. Typhi and S. 210
Typhimurium, whilst hilD is not subject to transcriptional regulation. 211
The seeming absence of hilD transcriptional regulation in bile (Figure 4) is at odds with the 212
significant changes in mRNA levels observed (Table 2). One explanation is that hilD:lacZ 213
reporter strains do not account for HilD-mediated autoregulation, as the chromosomal 214
reporter strains were made in a hilD background. HilD autoregulation has previously been 215
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reported in S. Typhimurium (42), but has not been characterised in S. Typhi. To determine if 216
HilD autoregulation could account for transcriptional changes of hilD in bile in S. Typhi, the 217
hilD:lacZ S. Typhi Ty2 reporter strain was transformed with a plasmid expressing HilD or an 218
empty vector control, and reporter activity assessed by β-galactosidase assay following 219
growth in LB. hilD expression from the strain complemented with HilD was significantly 220
higher than hilD expression from both the reporter strain alone and the reporter carrying the 221
empty vector (Figure 5), indicating that in S. Typhi HilD positively regulates its own 222
transcription, either directly or indirectly. 223
Bile influences HilD stability 224
Given that expression of hilA, a gene directly regulated by HilD, significantly increases in 225
bile, we investigated if HilD is post-transcriptionally regulated by bile in S. Typhi. Previous 226
studies have shown that in S. Typhimurium, HilD stability is markedly decreased in the 227
presence of bile, with a reported half-life almost 4 times shorter in LB supplemented with 3% 228
bile, than in LB alone (23). To determine the effect of bile on HilD stability in S. Typhi, S. 229
Typhi Ty2 was transformed with constitutively expressed HA-tagged HilD (from S. Typhi 230
Ty2), subcultured in the presence or absence of bile, and samples taken at regular intervals 231
following the inhibition of protein synthesis. Importantly the HA-tagged HilD used in these 232
studies was functional (Figure 5), indicating that the HA tag used does not disrupt HilD 233
structure or activity. In LB the half-life of HilD was 14 min, while in bile the half-life of HilD 234
increased to 40 min, indicating that HilD is approximately three times more stable in the 235
presence of bile in S. Typhi (Figure 6A). 236
HilD is highly conserved between S. Typhi and S. Typhimurium (>99% identity; 2 amino 237
acid changes). Since HilD has previously been shown to be less stable in bile in S. 238
Typhimurium (23), we next determined if this difference in stability was due to intrinsic 239
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differences between HilD between the serovars, or rather due to differences in factors that act 240
on HilD and influence its stability. To investigate this, we determined the stability of HA-241
tagged HilD from S. Typhimurium 14028 expressed in S. Typhi Ty2. As for S. Typhi HilD, S. 242
Typhimurium HilD was three times more stable in bile, with a recorded half-life increasing 243
from 8 min in LB, to 21 min (Figure 6B). 244
Although several factors have been reported to post-transcriptionally regulate HilD (e.g. 245
HilE, CsrA, GreE/GreB, FliZ, Hfq, RNase E (3, 43, 44)), only two have been described to 246
directly influence HilD protein stability: the protease Lon, which degrades HilD (45), and the 247
acetyltransferase Pat, which acetylates HilD to increase stability whilst decreasing DNA 248
binding (46). To determine if these factors were involved in mediating HilD stability in bile 249
in S. Typhi Ty2, deletions were constructed and HilD stability determined as previously. 250
Unfortunately, a Δlon Ty2 strain had severe growth defects and could not be tested. Although 251
HilD stability was decreased in a Δpat Ty2 strain, in line with previous findings in S. 252
Typhimurium (46, 47), stability of HilD was still increased in the presence of bile, increasing 253
from 4 min in LB to 13 min in the presence of bile (Figure S3), indicating that Pat-mediated 254
acetylation of HilD is not responsible for the increased stability in bile. Overall, our data 255
suggest that factors responsible for governing the stability of HilD in response to bile (other 256
than Pat) differ between S. Typhi and S. Typhimurium. 257
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DISCUSSION 258
Transcriptomic analysis of S. Typhimurium and S. Typhi strains grown in LB or 3% bile 259
permitted the identification of similarities and differences in each serovars’ response to bile. 260
Significant differences were observed in the regulation of the invasion-associated SPI-1 T3SS 261
and in motility genes between non-typhoidal and typhoidal serovars. S. Typhi strains 262
significantly upregulated these processes, and displayed a significant increase in T3SS-263
dependent invasion in bile, a response akin to other enteric pathogens (13), including Vibrio 264
parahaemolyticus (48), Vibrio cholera (49, 50), and Shigella (51, 52). All S. Typhi strains 265
tested (Ty2, CT18 and two H58 clinical isolates) demonstrated significantly increased 266
invasion in bile, strongly suggesting that this is a common response of S. Typhi to bile. 267
It is interesting to consider why S. Typhi and S. Typhimurium have such disparate responses 268
to bile. During infection, Salmonella encounters bile within the small intestine, and in the 269
case of S. Typhi, within the gallbladder. Following the observation that S. Typhimurium 270
invasion was significantly repressed in the presence of bile (14), a model was proposed that 271
S. Typhimurium uses bile concentration as a means to sense proximity to the intestinal 272
epithelium; in the lumen where bile concentration is highest, SPI-1 expression would be 273
repressed, as the bacteria get closer to the intestinal cells, bile concentration would decrease, 274
leading to SPI-1 expression and invasion (14). Within the context of this model however, S. 275
Typhi would be less invasive when in close contact with the intestinal epithelium, which is 276
consistent with the limited intestinal inflammatory responses induced by S. Typhi (1). 277
Moreover, S. Typhi has a unique site of infection – the gallbladder (7, 9). One of the 278
mechanisms by which S. Typhi has been proposed to persist within the gallbladder is via 279
direct invasion of gallbladder epithelial cells (53, 54); bile-induced increases in SPI-1 280
expression and invasiveness may therefore promote S. Typhi invasion and colonisation of the 281
gallbladder epithelium. Alternatively, as S. Typhi carriage is closely associated with the 282
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presence of gallstones, it is believed that S. Typhi forms biofilms on gallstone surfaces (7, 283
55). Biofilm formation on gallstones depends on several factors including the presence of 284
flagellar filaments (56), increased flagellar expression may therefore also promote biofilm 285
formation. As such, increases in expression of SPI-1 and motility associated genes in bile 286
may promote S. Typhi colonisation of the gallbladder, and therefore reflect adaptation to this 287
environment. 288
In terms of understanding how S. Typhi and S. Typhimurium differ with regards to SPI-1 289
expression in bile, our results, in combination with previous findings (23), demonstrate that 290
HilD is differentially regulated by bile at the level of protein stability (consistent with the 291
idea that HilD is largely controlled at the post-transcriptional level (40)), resulting in 292
significant differences in the expression of downstream genes, including the SPI-1 master 293
regulator, hilA (Figure 7). The factor(s) responsible for mediating changes in HilD stability in 294
response to bile remains to be established, however this response does not appear to rely on 295
Lon (23) or Pat (this study). A recent transposon screen which aimed to identify factors 296
responsible for bile-mediated SPI-1 repression in S. Typhimurium failed to identify any 297
regulatory factor other than HilD (23). There are several reasons why such an approach may 298
have failed, including the involvement of essential genes or redundancy. Unfortunately 299
attempts to further identify regulatory mechanisms in S. Typhi are confounded by the limited 300
characterisation of SPI-1 regulatory processes within S. Typhi. The overall effect of bile on 301
invasion between S. Typhi and S. Typhimurium may also not be entirely regulatory; for 302
example the translocon protein SipD has been reported to interact with bile salts (57), but 303
SipD is one of several T3SS-associated proteins reported to be 'differentially evolved’ (as 304
determined by non-synonymous amino acid changes) between typhoidal and non-typhoidal 305
serovars, which results in functional differences (58). Importantly, in Shigella flexneri, 306
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interaction of deoxycholate or other bile salts with the SipD homologue, IpaD, promotes the 307
recruitment of the translocator protein, IpaB, ‘readying’ the T3SS for secretion (59, 60). 308
Our results also demonstrate that strains belonging to the H58 S. Typhi lineage (129-0238 309
and ERL12148) display significantly increased responses to bile when compared to S. Typhi 310
reference strains (Ty2 and CT18). When considering chronic carriage such responses may be 311
advantageous, by increasing the potential of H58 strains to colonise the gallbladder, 312
increasing bacterial burden and subsequently increasing transmission. However, it is 313
currently unknown if this reflects differences between recently isolated clinical strains when 314
compared to more laboratory-adapted reference strains, or is instead due to intrinsic 315
difference in H58 strains compared to other S. Typhi haplotypes. H58 isolates have 44 non-316
synonymous single nucleotide polymorphisms (SNPs) which are not found within the S. 317
Typhi reference strain CT18 (21), including several SNPs within the Csr system (sirA 318
(L63F), csrB (155G>A), csrD (A620V)), which is a known regulator of SPI-1 (61). 319
Interestingly, significant phenotypic differences in bile were also observed between the two 320
H58 strains investigated. Further comparisons of H58 strains would be required to determine 321
if the phenotypic differences observed are sublineage-specific or simply reflect diversity 322
within the H58 group. 323
In conclusion, our results confirm that bile is a key regulator of gene expression in 324
Salmonella, influencing the expression of almost 10% of the genome, including genes 325
associated with virulence, motility and metabolism. These findings add to the characterisation 326
of S. Typhi responses to bile (30, 62), which may ultimately help explain the mechanisms by 327
which S. Typhi induces chronic carriage (13). 328
329
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MATERIALS AND METHODS 330
Bacterial strains, growth conditions and plasmid construction 331
The strains and plasmids used in this study are listed in Table 4. Salmonella were routinely 332
grown in LB Lennox (Sigma-Aldrich) at 37°C / 200 rpm. Ox bile (3% w/v) (Sigma-333
Aldrich/Merck-Millipore) was supplemented as indicated. 334
All oligonucleotides used in this study are listed in Table S1. The ΔinvA and Δpat S. Typhi 335
Ty2 deletion strains were constructed via lambda red, as previously described (63, 64). 336
Strains with chromosomal integration of the lacZ gene were also constructed via lambda red 337
recombination as described (41). Correct integration of introduced cassettes was validated by 338
PCR. 339
To create HA tagged HilD, pWSK29-Spec-4HA (64) was amplified with a reverse primer 340
containing a PacI digestion site, and HilD was amplified from both S. Typhimurium and S. 341
Typhi with primers containing NotI and PacI restriction sites. Both products were digested, 342
and HilD cloned into the existing NotI site and the introduced PacI site of pWSK29-Spec-343
4HA, resulting in constitutively expressed C-terminally tagged HilD-4HA. Plasmid 344
construction was validated by sequencing. 345
Cell culture and HeLa invasion assays 346
HeLa cells (ATCC) were maintained in Dulbecco’s Modified Eagle medium supplemented 347
with 10% foetal bovine serum (FBS) (Sigma-Aldrich) in a 5% CO2 at 37°C. The cells were 348
authenticated via short tandem repeat profiling in February 2016 (Microsynth). 349
Invasiveness of strains was determined by gentamicin protection assays, as previously 350
described (64). Briefly, Salmonella strains were cultured overnight at 37°C / 200 rpm in LB 351
or LB supplemented with 3% bile before subculturing 1:33 in LB or LB 3% bile until late 352
exponential phase (OD600 ~1.8), when SPI-1 expression is induced (18) (data not shown). To 353
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prevent bile-mediated cell lysis, bacteria were washed twice in LB before addition to cells at 354
an MOI 100:1. As S. Typhi is less invasive than S. Typhimurium (65), S. Typhi infections 355
were performed for 1 h, and S. Typhimurium for 15 min, prior to the addition of gentamicin, 356
unless otherwise indicated. At indicated time points, cells were lysed, serially diluted, and 357
plated to enumerate intracellular CFU. 358
RNA extraction 359
Salmonella were cultured overnight in LB or LB supplemented with 3% bile (w/v) before 360
subculturing 1:33 until late exponential phase (OD600 ~1.8). 6 x 108 bacteria were incubated 361
in RNAprotect (Qiagen) at room temperature (RT) for 5 min. Bacteria were digested with 362
lysozyme (15 mg / ml) and proteinase K for 20 min at RT, and RNA extracted using the 363
RNeasy Mini Kit (Qiagen) as per manufacturer’s instructions. RNA extractions for RNA-Seq 364
were performed in duplicate then pooled, over three biological repeats. RNA extractions for 365
quantitative reverse transcription PCR (RT-qPCR) were performed in triplicate over three 366
biological repeats. RNA samples for RNA-Seq and RT-qPCR were extracted independently 367
of each other. 368
RNA sequencing and data analysis 369
For RNA sequencing, mRNA libraries were multiplexed and prepared by utilisation of the 370
Illumina TruSeq protocol followed by sequencing via paired-end methodology on the 371
Illumina HiSeq version 4 platform. Each lane of Illumina sequence was assessed for quality 372
on the basis of adapter contamination, average base read quality and any unusual G-C bias 373
using FastQC. The median Phred score for all samples was >34. To permit comparison 374
between strains, sequenced reads for each strain were mapped to the Ty2 genome 375
(NC_004631) using the Rockhopper tool (66) with default parameters (Data S1-3). The read 376
alignment coverage for each sample can be found in Table S2. The threshold for 377
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differentially expressed genes was gated as those displaying >2 fold change in expression in 378
3% bile compared to LB alone, and with an adjusted p value (q value) < 0.05. 379
GO term enrichment for differentially regulated genes was performed with Panther (67) using 380
the S. Typhimurium GO annotation, whilst KEGG pathway analysis was performed with the 381
GAGE R package (68) (R 3.3.1), using the S. Typhi (stt) KEGG annotation. The 382
VennDiagram (69) and gplots R packages were used for data visualisation. 383
Quantitative reverse transcription PCR (RT-qPCR) 384
2 µg of RNA was treated with DNase (Promega) prior to reverse transcription with M-MLV 385
reverse transcriptase (Promega) according to manufacturer’s recommendations. Fast SYBR 386
Green Master Mix (Applied Biosystems) was used for qPCR reactions alongside the Applied 387
Biosystems StepOnePlus system. 20 ng of cDNA was used per reaction, and forward and 388
reverse primers (Table S1) used at final concentration of 0.2 µM. Samples without reverse 389
transcription were included as negative controls. The housekeeping gene, ftsZ, was used as 390
the reference gene as it was determined to be least variable gene between strains and between 391
LB with and without 3% bile. qPCR reactions were performed in duplicate on triplicate 392
samples over three biological replicates. 393
SPI-1 protein expression and stability assays 394
To determine expression of SPI-1 proteins, Salmonella were subcultured in the absence or 395
presence of 3% ox-bile to late exponential phase. 1 mL of culture was pelleted and re-396
suspended in 2X SDS loading buffer (1M Tris pH 6.8, 2% SDS, 20% glycerol, 5% β-397
mercaptoethanol, bromophenol blue) in proportion to OD600. To determine HilD stability, 398
Salmonella strains previously transformed with 4HA-tagged constructs were subcultured in 399
10 ml LB with or without the addition of 3% ox-bile until late exponential phase. The OD600 400
was recorded, and chloramphenicol (30 µg/ml) added to inhibit protein synthesis. 1 ml 401
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bacteria were pelleted and re-suspended in 2X SDS loading buffer in proportion to OD600. 402
The cultures were incubated at 37°C / 200 rpm, and 1 ml samples were taken at required time 403
points. Samples were heated at 95°C for 10 min. Whole cell samples were subject to Western 404
blotting, using an anti-HA antibody to detect the protein of interest, and DnaK as a loading 405
control. Following imaging, band density was quantified using ImageJ, and half-life (in 406
minutes) calculated using the equation: (t x ln(2)) / (ln(No/Nf)), where t equals time elapsed 407
between measurements (in minutes), N0 equals the initial amount, and Nf equals the final 408
amount (23). To determine changes in SPI-1 proteins in bile, band density was quantified 409
using ImageJ, levels of SPI-1 proteins were normalised to the corresponding DnaK value, and 410
fold change in bile relative to LB calculated. 411
SDS-PAGE and Western blotting 412
Proteins were separated on 12% acrylamide gels followed by semi-dry transfer on to PVDF 413
membrane (GE Healthcare). Membranes were blocked in 5% milk in PBS + 0.05% Tween-20 414
(Sigma-Aldrich), and probed with either anti-DnaK 8E2/2 (1:10000) (Enzo Life Sciences 415
#ADI-SPA-880), anti-HA HA-7 (1:1000) (Sigma #H3663), anti-SipC, anti-SipD, anti-SopB, 416
or anti-SopE (1:5000) (V. Koronakis, University of Cambridge) primary antibodies, followed 417
by HRP-conjugated secondary antibody (1:10000) (Jackson ImmunoResearch). 418
Chemiluminescence following the addition of EZ-ECL reagent (Geneflow) was detected 419
using the LAS-3000 imager (Fuji). 420
β-galactosidase assays 421
β-galactosidase assays were performed as previously described (70). Salmonella strains were 422
grown in SPI-1 inducing conditions with or without the addition of 3% ox bile. The OD600 423
was recorded, and 1 ml of culture pelleted and resuspend in 1 ml Z buffer (0.06M Na2HPO4, 424
0.04M NaH2PO4, 0.01M KCl, 0.001M MgSO4 and 0.05M β-mercaptoethanol, pH 7). WT 425
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strains were used as negative controls. Samples were permeabilised with the addition of 0.1% 426
SDS and chloroform, and vortexed for 2 min. 20 µl of prepared sample was added to 180 µl 427
Z buffer in a 96 well microplate, and 2-Nitrophenyl β-D-galactopyranoside (ONPG) substrate 428
(4 mg/ml in Z buffer) added. Plates were incubated at RT, then the reaction stopped with the 429
addition of 1M Na2CO3. The absorbance of the samples was measured at 405 nm and 540 nm 430
using a FLUOStar Omega plate reader (BMG Labtech). 431
Statistical analysis 432
Statistical tests were performed using GraphPad Prism (Version 7.00) for Windows 433
(GraphPad Software, San Diego, California, USA). All data are expressed as mean ± SD. 434
Significance (p < 0.05) was determined by unpaired t-test or ANOVA, with correction for 435
multiple comparisons when required. 436
437
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ACKNOWLEDGEMENTS 438
We are grateful to Gordon Dougan (Sanger Institute) for providing the S. Typhi strains used 439
in this study, to Michael Hensel for providing the p3138 template plasmid for construction of 440
reporter strains via lambda red, and to Vassilis Koronakis (University of Cambridge) for 441
providing the anti-SipC, anti-SipD, anti-SopB and anti-SopE antibodies. RJ is supported by 442
an MRC Centre for Molecular Bacteriology and Infection Grant, ref: MR/J006874/1. GF is 443
supported by a Wellcome Trust Investigator grant. 444
445
446
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54. Menendez A, Arena ET, Guttman JA, Thorson L, Vallance BA, Vogl W, Finlay 618
BB. 2009. Salmonella infection of gallbladder epithelial cells drives local 619
inflammation and injury in a model of acute typhoid fever. J Infect Dis 200:1703–13. 620
55. Crawford RW, Rosales-Reyes R, Ramírez-Aguilar M de la L, Chapa-Azuela O, 621
Alpuche-Aranda C, Gunn JS. 2010. Gallstones play a significant role in Salmonella 622
spp. gallbladder colonization and carriage. Proc Natl Acad Sci U S A 107:4353–8. 623
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Typhimurium biofilm formation on gallstones and on glass. Infect Immun 71:7154–8. 625
57. Wang Y, Nordhues BA, Zhong D, De Guzman RN. 2010. NMR Characterization of 626
the Interaction of the Salmonella Type III Secretion System Protein SipD and Bile 627
Salts ,. Biochemistry 49:4220–4226. 628
58. Eswarappa SM, Janice J, Nagarajan AG, Balasundaram S V, Karnam G, Dixit 629
NM, Chakravortty D. 2008. Differentially evolved genes of Salmonella pathogenicity 630
islands: insights into the mechanism of host specificity in Salmonella. PLoS One 631
3:e3829. 632
59. Olive AJ, Kenjale R, Espina M, Moore DS, Picking WL, Picking WD. 2007. Bile 633
salts stimulate recruitment of IpaB to the Shigella flexneri surface, where it colocalizes 634
with IpaD at the tip of the type III secretion needle. Infect Immun 75:2626–9. 635
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Shelton NL, Givens RS, Picking WL, Picking WD. 2008. Deoxycholate interacts 637
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secretion apparatus needle tip. J Biol Chem 283:18646–54. 639
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Bustamante VH. 2011. Integration of a complex regulatory cascade involving the 641
SirA/BarA and Csr global regulatory systems that controls expression of the 642
Salmonella SPI-1 and SPI-2 virulence regulons through HilD. Mol Microbiol 643
80:1637–56. 644
62. Langridge GC, Phan M-D, Turner DJ, Perkins TT, Parts L, Haase J, Charles I, 645
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mutants. Genome Res 19:2308–16. 648
63. Datsenko KA, Wanner BL. 2000. One-step inactivation of chromosomal genes in 649
Escherichia coli K-12 using PCR products. Proc Natl Acad Sci U S A 97:6640–5. 650
64. Johnson R, Byrne A, Berger CN, Klemm E, Crepin VF, Dougan G, Frankel G. 651
2017. The type III secretion system effector SptP of Salmonella enterica serovar 652
Typhi. J Bacteriol 199:e00647-16. 653
65. Bishop A, House D, Perkins T, Baker S, Kingsley RA, Dougan G. 2008. Interaction 654
of Salmonella enterica serovar Typhi with cultured epithelial cells: roles of surface 655
structures in adhesion and invasion. Microbiology 154:1914–26. 656
66. McClure R, Balasubramanian D, Sun Y, Bobrovskyy M, Sumby P, Genco CA, 657
Vanderpool CK, Tjaden B. 2013. Computational analysis of bacterial RNA-Seq data. 658
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PANTHER version 11: expanded annotation data from Gene Ontology and Reactome 661
pathways, and data analysis tool enhancements. Nucleic Acids Res 45:D183–D189. 662
68. Luo W, Friedman MS, Shedden K, Hankenson KD, Woolf PJ. 2009. GAGE: 663
generally applicable gene set enrichment for pathway analysis. BMC Bioinformatics 664
10:161. 665
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customizable Venn and Euler diagrams in R. BMC Bioinformatics 12. 667
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New York. 669
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FIGURE LEGENDS 672
Figure 1. Comparison of pathways differentially regulated by bile between S. Typhi and 673
S. Typhimurium. Overrepresented Gene Ontology (GO) terms within upregulated and 674
downregulated genes following growth in 3% bile for each strain. 675
676
Figure 2. Gene expression in response to bile differs between Salmonella strains. 677
Comparison of genes upregulated and downregulated in response to bile in S. Typhimurium 678
(Tm), S. Typhi Ty2 (Ty2) and S. Typhi 129-0238 (H58). 679
680
Figure 3. The effect of bile on SPI-1 expression and activity. (A) Heatmap showing log2 681
fold change in gene expression for S. Typhimurium (Tm), S. Typhi Ty2 (Ty2) and S. Typhi 682
129-0238 (H58) across the SPI-1 pathogenicity island and for non-SPI-1 carried effectors. 683
Asterisks (*) indicate genes significantly affected by bile across all three strains. (B) Western 684
blots of SipC, SipD and SopE of S. Typhimurium 14028 (Tm), S. Typhi Ty2 (Ty2), and two 685
H58 clinical isolates (ERL12148 and 129-0238) grown in LB with or without 3% bile; SopE 686
panels are not shown for S. Typhimurium 14028, as this strain lacks SopE. DnaK was used as 687
a loading control. A representative blot of two independent repeats is shown. Numbers below 688
panels indicate fold change in density when compared to LB; all bands were normalised to 689
their respective DnaK control prior to comparison. (C) Strains grown in LB or 3% bile to late 690
exponential phase were added to HeLa cells at an MOI 100 for 30 min. The percentage of 691
intracellular bacteria at 2 h post-infection relative to the inoculum added is shown. n=3, error 692
bars show SD. Invasion rates of strains were compared by t-test (** = P < 0.01, *** = P < 693
0.001). 694
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33
Figure 4. Effect of bile on hilA and hilD transcription in Salmonella. The reporter activity 695
(β-galactosidase units) of hilA:lacZ and hilD:lacZ in S. Typhimurium 14028 (A & B) and S. 696
Typhi Ty2 (C & D) following growth to late exponential phase in LB in the presence or 697
absence of bile. n=3, error bars show SD. Reporter activity between strains was compared by 698
t-test (* = P < 0.05, *** = P < 0.001). 699
700
Figure 5. HilD autoregulation in S. Typhi. The reporter activity of a S. Typhi Ty2 701
hilD:lacZ chromosomal transcriptional reporter strain complemented with HilD (pWSK29-702
Spec HilD-4HA (HilD)) or an empty vector control (pWSK29-Spec (EV)), was determined 703
by β-galactosidase assay following growth in LB. n=3, error bars show SD. Reporter activity 704
between strains was compared by one way ANOVA (*** = P < 0.001). 705
706
Figure 6. Bile promotes HilD stability in S. Typhi. WT S. Typhi Ty2 constitutively 707
expressing C-terminally 4HA-tagged HilD from (A) S. Typhi Ty2 or (B) S. Typhimurium 708
14028 was grown in LB with or without bile. 30 µg/ml chloramphenicol was added to stop 709
protein synthesis, and samples were collected every 10 min. HilD levels were determined via 710
Western blotting using an anti-HA antibody, and DnaK used as a loading control. A 711
representative blot of three independent repeats is shown. Half-life measurements are 712
averaged from three independent repeats, and standard deviation is shown. 713
714
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Figure 7. Proposed model of how bile influences SPI-1 expression in S. Typhi. (A) HilD 715
is at the top of the SPI-1 regulatory hierarchy, where it regulates its own expression and the 716
expression of HilA. HilD also regulates expression of the additional regulators HilC and 717
RtsA, which also control HilA expression. (B) In the absence of bile the turnover of HilD is 718
high, the expression of hilD is at a basal level and as a result the expression of hilA is low (C) 719
In the presence of bile HilD is more stable, leading to enhanced expression of hilD, hilA and 720
thus SPI-1. 721
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TABLES 723
Table 1. Genes upregulated by bile in all strains 724
Log2 fold
change
Name Locus
tag
Product Tm Ty2 H58
fadI t0475 3-ketoacyl-CoA thiolase 4.12 2.55 2.52
fadJ t0476 multifunctional fatty acid oxidation complex subunit alpha 3.32 2.06 2.17
fadE t2541 acyl-CoA dehydrogenase 7.44 4.70 4.18
fadB t3315 multifunctional fatty acid oxidation complex subunit alpha 7.52 2.92 1.57
fadA t3316 3-ketoacyl-CoA thiolase 7.66 2.88 1.57
actP t4179 acetate permease 3.41 1.58 1.27
- t4180 hypothetical protein 3.44 1.72 1.32
acs t4181 acetyl-CoA synthetase 3.91 2.11 1.31
acnA t1625 aconitate hydratase 3.18 1.81 1.59
argT t0509 lysine-arginine-ornithine-binding periplasmic protein 3.36 2.29 1.33
argD t1182
bifunctional succinylornithine transaminase/acetylornithine
transaminase 5.61 2.72 1.20
- t0677 gentisate 1,2-dioxygenase 2.51 3.91 3.38
- t0678 FAA-hydrolase-family protein 2.09 3.21 2.87
- t0679 glutathione-S-transferase-family protein 2.09 2.89 2.49
- t0680 salicylate hydroxylase 1.27 2.09 2.03
- t1787 oxidoreductase 3.62 3.53 1.32
- t1789 hypothetical protein 3.17 4.04 1.44
- t1790 N-acetylneuraminic acid mutarotase 2.78 4.07 1.32
gabT t2687 4-aminobutyrate aminotransferase 5.18 2.93 1.74
msrA t4462 methionine sulfoxide reductase A 1.68 1.67 1.30
725
726
Table 2. Log2 fold change in gene expression determined by RNA-Seq and RT-qPCR 727
RNA-Seq RT-qPCR
Gene 14028 Ty2 129-0238 14028 Ty2 129-0238
hilD -4.08 1.23 3.15 -3.48
(± 0.71)
1.42
(± 0.25)
2.44
(± 0.73)
hilA -6.98 1.54 3.67 -6.51
(± 0.64)
1.71
(± 0.39)
3.37
(± 0.39)
prgH -6.36 1.57 4.02 -6.00
(± 0.74)
1.68
(± 0.73)
4.00
(± 0.48)
sopB -6.95 1.11 4.21 -3.85
(± 0.44)
1.38
(± 0.59)
4.13
(± 0.27)
flhD -1.72 1.05 1.33 -1.25
(± 0.43)
1.93
(± 0.38)
2.31
(± 1.13)
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flgA -1.29 1.37 1.70 -0.98
(± 0.27)
1.99
(± 0.44)
1.37
(± 0.84)
fadE 7.44 4.70 4.18 3.55
(± 2.13)
3.75
(± 0.16)
4.75
(± 0.09)
acs 3.91 2.11 1.31 2.03
(± 1.77)
0.87
(± 0.67)
2.37
(± 0.59)
± indicates standard deviation 728
729
Table 3. Genes downregulated in S. Typhimurium and upregulated in S. Typhi in bile 730
Log2 fold change
Name Locus tag Product Tm Ty2 H58
fliO t0899 flagellar biosynthesis protein FliO -1.87 1.57 1.35
fliN t0900 flagellar motor switch protein FliN -1.55 1.44 1.62
fliM t0901 flagellar motor switch protein FliM -1.71 1.40 1.71
fliL t0902 flagellar basal body protein FliL -1.74 1.41 1.78
fliK t0903 flagellar hook-length control protein -1.67 1.33 2.08
fliJ t0904 flagellar biosynthesis chaperone -1.37 1.43 2.25
fliI t0905 flagellum-specific ATP synthase -1.43 1.25 1.69
fliH t0906 flagellar assembly protein H -1.45 1.41 1.57
fliG t0907 flagellar motor switch protein G -1.44 1.34 1.53
fliF t0908 flagellar MS-ring protein -1.89 1.32 1.41
fliE t0909 flagellar hook-basal body protein FliE -2.49 1.76 2.01
flhD t0952 transcriptional activator FlhD -1.72 1.05 1.33
flgJ t1738 flagellar rod assembly protein/muramidase FlgJ -1.56 1.30 1.38
flgI t1739 flagellar basal body P-ring biosynthesis protein
FlgA -1.69 1.41 1.39
flgH t1740 flagellar basal body L-ring protein -1.71 1.42 1.68
flgC t1745 flagellar basal body rod protein FlgC -1.86 1.39 1.79
flgB t1746 flagellar basal-body rod protein FlgB -2.05 1.40 1.73
flgA t1747 flagellar basal body P-ring biosynthesis protein
FlgA -1.29 1.37 1.70
sprB t2768 AraC family transcriptional regulator -3.76 1.97 4.11
sprA t2769 AraC family transcriptional regulator -3.29 1.97 3.29
- t2770 hypothetical protein -3.69 1.22 2.11
orgA t2771 oxygen-regulated invasion protein -3.90 1.34 1.79
orgA t2772 oxygen-regulated invasion protein -5.65 1.62 3.50
prgJ t2774 pathogenicity island 1 effector protein -6.05 1.43 3.83
prgI t2775 pathogenicity island 1 effector protein -6.15 1.41 3.89
prgH t2776 pathogenicity island 1 effector protein -6.36 1.57 4.02
hilA t2778 invasion protein regulator -6.98 1.54 3.67
iagB t2779 cell invasion protein -6.64 1.35 3.83
sicP t2781 chaperone -3.06 1.40 3.19
- t2782 hypothetical protein -3.10 1.56 2.98
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sipF/iacP t2783 acyl carrier protein -5.62 1.46 3.43
sipA t2784 pathogenicity island 1 effector protein -5.84 1.55 3.60
sipD t2785 pathogenicity island 1 effector protein -6.24 1.48 3.87
spaS t2789 surface presentation of antigens protein SpaS -5.70 1.24 3.29
spaQ t2791 virulence-associated secretory protein -7.26 1.40 3.00
spaP t2792 surface presentation of antigens protein SpaP -6.87 1.43 3.25
spaO t2793 surface presentation of antigens protein SpaO -6.72 1.60 3.66
spaN t2794 antigen presentation protein SpaN -6.66 1.58 3.91
spaM t2795 virulence-associated secretory protein -6.91 1.76 3.83
spaL/invC t2796 ATP synthase SpaL -6.61 1.53 3.43
Spak/invB t2797 virulence-associated secretory protein -6.04 1.91 4.01
invA t2798 virulence-associated secretory protein -6.50 1.40 3.34
invE t2799 cell invasion protein -6.86 1.35 3.59
invG t2800 virulence-associated secretory protein -7.12 1.37 3.60
invF t2801 AraC family transcriptional regulator -6.97 1.27 3.84
invH t2802 cell adherance/invasion protein -4.54 1.57 2.97
sopD t2846 hypothetical protein -3.76 1.05 4.33
rtsB t4220 GerE family regulatory protein -7.59 1.99 3.58
rtsA t4221 AraC family transcriptional regulator -7.33 1.80 3.83
- t0944 lipoprotein -2.25 1.20 2.22
- t1774 hypothetical protein -2.09 1.46 2.60
lpxR t1208 hypothetical protein -7.02 1.19 3.44
srfA t1503 virulence effector protein -1.75 1.64 1.81
srfB t1504 virulence effector protein -1.48 1.58 1.88
731
Table 4. Strains and plasmids used in this study 732
Strain or plasmid Identifier Genotype or comments Source
Strains
S. Typhimurium
14028 ICC797 WT (64)
14028 ICC1765 ΔhilA:lacZ KanR This study
14028 ICC1764 ΔhilD:lacZ KanR This study
S. Typhi
Ty2 ICC1500 WT G. Dougan
Ty2 ICC1630 ΔhilA:lacZ KanR This study
Ty2 ICC1762 ΔhilD:lacZ KanR This study
Ty2 ICC1556 ΔinvA KanR (64)
Ty2 ICC1756 Δpat KanR This study
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CT18 ICC1502 WT G. Dougan
129-0238 ICC1503 WT, H58 isolate G. Dougan (21)
ERL12148 ICC1504 WT, H58 isolate G. Dougan (21)
Plasmids
pKD4 pICC893 Kanamycin cassette template
plasmid
(63)
p3138 pICC2515 LacZ and kanamycin cassette
template plasmid
(41)
pKD46 pICC1298 Lambda red recombinase
plasmid
(63)
pWSK29-Spec E.V. pICC2489 Empty vector, spectinomycinR (64)
pWSK29-Spec HilD-
4HA Ty2
S. Typhi Ty2 HilD-4HA,
constitutive promoter
This study
pWSK29-Spec HilD
4HA Tm
S. Typhimurium 14028 HilD-
4HA, constitutive promoter
This study
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